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Attending to inattention: Identification of deadweight loss under nonsalient taxes

机译:引起注意的问题:确定不征收税项下的无谓损失

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摘要

Recent developments in behavioral public economics have shown that heterogeneous biases prevent point identification of deadweight loss. We replicate this result for an arbitrary (closed) consumption set, whereas previous results on heterogeneous attention focused on binary choice. We find that one can bound the efficiency costs of taxation based on aggregate features of demand. When individuals have linear demand functions, the bounds for deadweight loss are easy to calculate from linear regressions.
机译:行为公共经济学的最新发展表明,异质性偏差阻止了无谓损失的点识别。我们将这个结果复制为任意(封闭的)消费集,而先前关于异构注意的结果则集中在二元选择上。我们发现,可以根据需求的总体特征来约束税收的效率成本。当个体具有线性需求函数时,很容易根据线性回归来计算无谓损失的界限。

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